Modelling Errors in Automatic Speech Recognition for Dysarthric Speakers
نویسندگان
چکیده
منابع مشابه
Modelling Errors in Automatic Speech Recognition for Dysarthric Speakers
Dysarthria is a motor speech disorder characterized by weakness, paralysis, or poor coordination of the muscles responsible for speech. Although automatic speech recognition (ASR) systems have been developed for disordered speech, factors such as low intelligibility and limited phonemic repertoire decrease speech recognition accuracy, making conventional speaker adaptation algorithms perform po...
متن کاملAutomatic speech recognition with sparse training data for dysarthric speakers
We describe an unusual ASR application: recognition of command words from severely dysarthric speakers, who have poor control of their articulators. The goal is to allow these clients to control assistive technology by voice. While this is a small vocabulary, speaker-dependent, isolated-word application, the speech material is more variable than normal, and only a small amount of data is availa...
متن کاملUsing acoustic measures to predict automatic speech recognition performance for dysarthric speakers
There is growing evidence that clinicians are becoming more receptive to automated computerized tools that assist in treatment decisions and outcomes. Automatic speech recognition (ASR), for example, has had some degree of success as an assistive technology (AT) tool for individuals with mild or moderate dysarthria. Notwithstanding, for a large percentage of individuals with more severe levels ...
متن کاملMulti-Stage DNN Training for Automatic Recognition of Dysarthric Speech
Incorporating automatic speech recognition (ASR) in individualized speech training applications is becoming more viable thanks to the improved generalization capabilities of neural network-based acoustic models. The main problem in developing applications for dysarthric speech is the relative in-domain data scarcity. Collecting representative amounts of dysarthric speech data is difficult due t...
متن کاملSpeech Recognition Technology for Dysarthric Speech
The initial results of investigations into the use of current commercial automatic speech recognition (ASR) software by people with speech disability (dysarthria) is presented, together with a brief summary of the history of the development of ASR and its applications for the disabled. Results confirm the viability of dysarthric use, identify areas of further investigation for improved recognit...
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ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2009
ISSN: 1687-6180
DOI: 10.1155/2009/308340